[Docs] Add Qwen2.5-VL guide for the TRT-LLM PyTorch backend, deprecate Llava1.5 guide - #169
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Add Popular_Models_Guide/Qwen2.5-VL/qwen2_5_vl_trtllm_guide.md, documenting how to serve a multimodal (vision) model on Triton via the TensorRT-LLM PyTorch backend through the llmapi backend. No engine build is required. Also add a deprecation banner to the Llava1.5 TensorRT-LLM guide, whose prebuilt-engine multimodal path is end-of-life as of TensorRT-LLM v1.2. The multimodal image_url input and triton_config.multimodal opt-in used by the new guide are added by NVIDIA/TensorRT-LLM#18381, which is not yet merged; the guide states this prominently. Signed-off-by: Faradawn Yang <73060648+faradawn@users.noreply.github.com>
all_models/llmapi/ holds exactly one model directory, so it can be used as a Triton model repository directly instead of copying files into a new one. Give the concrete clone and model.yaml commands, and add a curl example with the response it returns. Signed-off-by: Faradawn Yang <73060648+faradawn@users.noreply.github.com>
…rch-backend-guide
The backend now accepts only http(s) URLs and inline data URIs; local filesystem paths and file:// are rejected because the input is client-controlled. Document that and drop the local-path example. Signed-off-by: Faradawn Yang <73060648+faradawn@users.noreply.github.com>
The backend rejects local paths, file:// and data: URIs, so document the http(s)-only scope and drop the data-URI examples. Signed-off-by: Faradawn Yang <73060648+faradawn@users.noreply.github.com>
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Can be merged after the code change: NVIDIA/TensorRT-LLM#18381 NVIDIA/TensorRT-LLM#18381
Related: triton-inference-server/server#8945